| Literature DB >> 23228090 |
José Juvenal Linhares1, Marcos Azevedo, Adalberto Abraão Siufi, Cristina Valleta de Carvalho, Maria Del Carmen Garcia Molina Wolgien, Emmanuelle Coelho Noronha, Tatiana Carvalho de Souza Bonetti, Ismael Dale Cotrim Guerreiro da Silva.
Abstract
BACKGROUND: Emerging evidence has shown that miRNAs are involved in human carcinogenesis as tumor suppressors or oncogenes. Single nucleotide polymorphisms (SNPs) located in pre-miRNAs may affect the processing and therefore, influence the expression of mature miRNAs. Previous studies generated conflicting results when reporting association between the hsa-miR-196a2 rs11614913 common polymorphism and breast cancer.Entities:
Mesh:
Substances:
Year: 2012 PMID: 23228090 PMCID: PMC3563578 DOI: 10.1186/1471-2350-13-119
Source DB: PubMed Journal: BMC Med Genet ISSN: 1471-2350 Impact factor: 2.103
Summary of demographic characteristics and risk factors for breast cancer development
| Age in years (mean ± SD) | 55.1 ± 10.3 | 57.7 ± 12.6 | 0.008 |
| Age at menarche in years (mean ± SD) | 12.9 ± 1.6 | 13.0 ± 1.6 | 0.700 |
| Race | | | |
| Caucasian | 19.4% | 16.2% | <0.001 |
| Non-Caucasian | 70.6% | 83.8% | |
| Patients at Menopause | 66.8% | 63.9% | 0.225 |
| Habit of smoking | 26.3% | 22.4% | 0.240 |
| First-degree family history of breast cancer | 16.7% | 18.0% | 0.635 |
| Histological Grade | | | |
| 1 | ---- | 24.5% | ---- |
| 2 | ---- | 47.9% | ---- |
| 3 | ---- | 27.6% | ---- |
| Clinical stages | | | |
| 1 | ---- | 34.5% | ---- |
| 2 | ---- | 43.8% | ---- |
| 3 | ---- | 16.0% | ---- |
| 4 | ---- | 5.7% | ---- |
Genotype distribution in the CT and BC groups
| | |||||
|---|---|---|---|---|---|
| CT | Count | 127 | 165 | 96 | 0.004 |
| | % within Group | 32.7% | 42.5% | 24.7% | |
| BC | Count | 94 | 177 | 117 | 0.096 |
| % within Group | 24.2% | 45.6% | 30.2% | ||
HWE: Hardy-Weinberg Equilibrium.χ2: p = 0.024.
Genotype distribution in the CT and BC groups based on races
| | |||||
|---|---|---|---|---|---|
| CT Caucasian | Count | 94 | 114 | 66 | 0.008 |
| | % within Group | 34.3% | 41.6% | 24.1% | |
| CT non-Caucasian | Count | 33 | 51 | 30 | 0.264 |
| | % within Group | 29.0% | 44.7% | 26.3% | |
| BC Caucasian | Count | 83 | 148 | 94 | 0.112 |
| | % within Group | 25.5% | 45.6% | 28.9% | |
| BC non-Caucasian | Count | 11 | 29 | 23 | 0.723 |
| % within Group | 17.5% | 46.0% | 36.5% | ||
HWE: Hardy-Weinberg Equilibrium.
Multiple logistic regression analysis adjusted for the interfering variables to evaluate the association between polymorphism and occurrence of BC
| Presence of TC or TT variant | 0.406 | 0.165 | 1.501 | 0.014 |
| Age (years) | 0.023 | 0.008 | 1.024 | 0.003 |
| Non-Caucasian race | −0.786 | 0.180 | 0.456 | 0.000 |
| Age at Menarche (years) | 0.021 | 0.047 | 1.021 | 0.660 |
| Menopause (yes or no) | −0.523 | 0.194 | 0.593 | 0.007 |
| Smoking (yes or no) | −0.192 | 0.190 | 0.825 | 0.311 |
| BC Family history (yes or no) | −0.291 | 0.187 | 0.748 | 0.119 |
| Constant | −1.244 | 0.733 | 0.288 | 0.090 |
SE: standard error. OR: odds ratio.